A Study on the Location and Range of Obstacle Region in Robot's Point Placement Task based on the Vision Control Algorithm
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
A Study on the Location and Range of Obstacle Region in Robot's Point Placement Task based on the Vision Control Algorithm

Authors: Jae Kyung Son, Wan Shik Jang, Sung hyun Shim, Yoon Gyung Sung

Abstract:

This paper is concerned with the application of the vision control algorithm for robot's point placement task in discontinuous trajectory caused by obstacle. The presented vision control algorithm consists of four models, which are the robot kinematic model, vision system model, parameters estimation model, and robot joint angle estimation model.When the robot moves toward a target along discontinuous trajectory, several types of obstacles appear in two obstacle regions. Then, this study is to investigate how these changes will affect the presented vision control algorithm.Thus, the practicality of the vision control algorithm is demonstrated experimentally by performing the robot's point placement task in discontinuous trajectory by obstacle.

Keywords: Vision control algorithm, location of obstacle region, range of obstacle region, point placement.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073359

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1355

References:


[1] J. C. John, Introduction to Robotics mechanics and control, 2nd ed., U.S.A: Addison-Wesley, 1989, pp. 84.
[2] J. L. Junkins, An Introduction to Optimal Estimation of Dynamical Systems, Sijthoff and Noordhoff, Alphen Aan Den Rijn, 1978, pp. 29~33.
[3] F. David, P. Robert, and P. Roger, Statistic, Canada:W.W.Norton, 1978, pp.58~59.
[4] R. Kelly, R. Carelli, O. Nasisis, B. Kuchen, and F. Reyes, "Stable Visual servoing of camera-inhand robotics systems," IEEE/ASME Trsns. on Mechatronics, Vol. 5, No. 1, pp. 39~48, 2000.
[5] T. Yoshihiro, K. Yasuo, and I. Hiroyuki, "Positioning-Control of Robot Manipulator Using Visual Sensor," Int. Conference on Control, Automation, Robotics and Vision, pp.894-898, 1996.
[6] H. Bacakoglu, M. Kamel, "An Optimized Two-Step Camera Calibration Method," Proceedings of the 1997 IEEE International Conference on Robotics And Automation, pp.1347- 1352, 1997.
[7] S. Machiko, J. K. Aggarwal, "Estimation of Position and Orientation from Image sequence of a Circle," IEEE International Conference on Robotics and Automation, pp.2252- 2257, 1997.
[8] W. S. Jang, K. S. Kim, K. Y. Kim, and H. C. Ahn, "An Experimental Study on the Optimal number of Cameras used for Vision Control System," KSMTE, Vol. 13, No. 2, pp. 94~103, 2004.
[9] K. U. Min, W. S. Jang, "An Experimental Study on the Optimal Arrangement of Cameras used for the Robot-s Vision Control Scheme," KSMTE, Vol. 19, No. 1, pp. 15~25, 2010.
[10] J. K. Son, W. S. Jang, and K. U. Min, "An experimental study on the effectiveness of robot vision control scheme in discontinuous robot's trajectory caused by obstacle" KSPE Spring Conference, pp. 127~128, 2009.
[11] J. K. Son, An experimental study on the practicality of vision control scheme used for robot's point placement task in discontinuous trajectory, A thesis for master's degree, Chosun University, Republic of Korea, 2010.